Senior Data Scientist (Remote) – ML & Analytics Leader

MAXIMUS; Indianapolis (IN); Remote; USD 153,000 - 182,000; Full time

Job summary

MAXIMUS in Indianapolis is seeking a senior data analytics professional to interpret results, build classifiers, and guide analytics across the organization. You will lead data collection efforts, refine models, and ensure reliable predictions while collaborating with business users and stakeholders.

The role requires 7+ years in data analysis, strong ML and SQL skills, and the ability to communicate findings clearly.

Qualifications

• 7+ years in data analysis/science with data-driven decision making.
• Strong knowledge of machine learning techniques and algorithms.
• Experience with data visualization tools and data storytelling.
• Proficient in SQL and relational databases.
• Excellent written and oral communication; leadership in prioritizing projects.
• Ability to work independently or in a technical team; ROI focus.
• Experience with government-sponsored health care programs desirable.

Responsibilities

• Interpret results using aggregation, statistics, data mining and pattern recognition.
• Select features and refine classifiers using ML techniques for performance.
• Serve as SME in data and analytics for analysts and stakeholders.
• Identify suitable decision technology techniques for analytical frameworks.
• Apply statistical methods to forecast trends and maintain reliable predictions.
• Expand data collection procedures for robust analytics systems.
• Develop automated anomaly detection and monitor model performance.
• Lead project management and cross-team communication.
• Stay current with emerging technologies to grow team expertise.
• Drive execution of additional strategic MAXIMUS areas.

Skills

ML techniques

SQL expertise

Data visualization

Statistics

Communication

Leadership

Independent work

Education

Bachelor's degree in Statistics/Math/CS/OR/ML

Tools

SQL

Job description

MAXIMUS in Indianapolis is seeking a senior data analytics professional to interpret results, build classifiers, and guide analytics across the organization. You will lead data collection efforts, refine models, and ensure reliable predictions while collaborating with business users and stakeholders.

The role requires 7+ years in data analysis, strong ML and SQL skills, and the ability to communicate findings clearly.